Identify excavator make
using AI
Below is a free classifier to identify excavator make. Just upload your image, and our AI will predict the make of the excavator - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("excavator-make", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/excavator-make/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/excavator-make/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the make of the excavator.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Bobcat, Case, Caterpillar, Doosan, Ford, Gehl, Hitachi, Jcb, John Deere and Komatsu.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the make of the excavator).
Whether you're just curious or building excavator make detection into your application, we hope our classifier proves helpful.
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Need to identify excavator make at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Construction Equipment Fleet Management: This function can assist companies in managing their fleet of excavators by accurately identifying the make of each machine. By automating the image classification process, businesses can streamline maintenance schedules, replacement needs, and procurement decisions based on specific machine capabilities and manufacturer support.
- Insurance Claim Processing: Insurance companies can utilize this function to verify the make of excavators involved in claims. By ensuring that identified machines match the policy information, insurers can expedite claims processes and reduce instances of fraud.
- Rental Service Verification: Equipment rental services can implement this function to ensure that the returned excavators are of the make that was originally rented out. This helps in maintaining inventory accuracy and preventing fraudulent return claims.
- Market Analysis and Research: Companies involved in market research can use this identifier to assess the distribution of various excavator makes within a specific region or construction site. This data can inform strategic decisions about product offerings and marketing campaigns.
- Compliance and Regulation Monitoring: Government agencies and regulatory bodies can utilize this classification function to monitor compliance with machinery regulations. By identifying the make of excavators in the field, they can ensure that only compliant models are operating on job sites.
- Predictive Maintenance Programs: Manufacturers can deploy this function to identify the make of excavators for the purpose of predictive maintenance. By tracking performance and maintenance history specific to each make, they can optimize maintenance schedules and reduce operational downtime.
- Training and Education Tools: Educational institutions and training providers can leverage this function to enhance their curriculum on construction machinery. By accurately identifying excavator makes in training simulations, students can gain practical insights into different machine features and functionalities.